Block Scheduling Research Articles

Students’ perceptions of fairness and accuracy in clinical practice evaluation

Objectives: This study aims to investigate dental students' perceptions regarding the evaluation of clinical practice and to explore the factors influencing these perceptions.Methods: An online survey was conducted targeting third and fourth-year dental students from 11 nationwide dental schools. The survey focused on their perceptions of the accuracy and fairness of two clinical practices: 1) clinical clerkship in specialty clinics, and 2) direct patient care in pre-doctoral treatment centers. Additionally, the effects of different clerkship models (disciplinary block, longitudinal integrated), evaluation units (individual subject, integrated subject), and grading systems (grading, pass/fail) were assessed.Results: The overall perception of fairness and accuracy in clinical practice evaluation was found to be low. Students in disciplinary block clinical practice settings reported lower perceptions of evaluation accuracy and fairness compared to those in longitudinal integrated or mixed schedule types. Furthermore, the grading system influenced the perception of fairness and accuracy in the evaluation of clinical practices. Regarding direct patient care in pre-doctoral treatment centers, the evaluation units significantly impacted students' perceptions, although the grading system did not. Groups with grading systems showed lower perceptions compared to those with pass/fail or mixed evaluation systems.Conclusion: The study reveals that dental students perceive clinical practice evaluations as generally unfair and inaccurate, particularly within disciplinary block schedules. To improve future dental education, adopting longitudinal integrated schedules could be considered to enhance the perceived fairness and accuracy of clinical practice evaluations.

IMPLEMENTATION OF THE TEACHING FACTORY MODEL TO ENHANCE COMPETENCE IN COMPUTER AND NETWORK ENGINEERING EXPERTISE AT SMK ACEH SELATAN

The teaching factory learning model has become an important strategy in enhancing students' expertise in Vocational High Schools (SMK) in South Aceh. This study aims to evaluate the effectiveness of this learning model in improving students' skills, particularly in the concentration of computer and network engineering expertise. The research shows that products, whether goods or services, in the teaching factory learning model play a crucial role as the main medium in delivering expertise to students. Block schedules are used to optimize resources efficiently, while Job Sheets regulate the sequence of materials to achieve the desired competencies. Supporting factors in the implementation of the teaching factory include support from school management, active student participation, and trust from the community as consumers of the products. However, some obstacles have also been identified, such as lack of socialization, suboptimal teaching staff, and limited facilities and infrastructure. Practical learning processes are conducted according to real work procedures, with a focus on student-centered learning, self-learning, and learning by doing principles. This allows students to learn through direct practice, not just theory. Thus, the teaching factory learning model at SMK in South Aceh contributes to enhancing students' expertise in the concentration of computer and network engineering.

International Exchange within the Block Schedules

International Exchange within the Block Schedules

Implementation of the Teaching Factory Learning Model to Improve Student Competencies in Entrepreneurship Subjects at SMKN 1 Bagor, Nganjuk Regency

This study aims to determine (1) the implementation of the teaching factory learning program, (2) describe the implementation of the teaching factory learning model in improving students in entrepreneurship subjects. Teaching factory learning aims to train students to become entrepreneurs. Teaching factory is implemented by setting up a business unit or company at school. The method used in this research is descriptive qualitative method. The data collection techniques used are documentation, interviews and questionnaires. Data validity uses credibility test criteria, transferability, dependability, and confirmabilitaty criteria. The data analysis technique used is the Miles and Huberman model, namely data reduction (Data Reduction), data presentation (Data Display), and conclusion drawing / verification. The results of this study can be obtained that: 1) the implementation of teaching factory learning is in accordance with the concepts and elements, equipment and equipment have been fulfilled, the marketing aspect has not been maximized, 2) teaching factory learning to improve student competence in entrepreneurship subjects. The goal is to train and facilitate students to maximize their talents and interests. The principles make students independent by instilling an entrepreneurial mentality, and 3) students have motivation to move forward, creativity, commitment innovation and honesty, The level of tendency of the entrepreneurial spirit of students is included in the high category. the implementation of the teaching factory learning model in improving student competence in entrepreneurship subjects includes 3 components, namely: (1) Product, (2) Block Schedule, (3) Job Sheet. The results of the Implementation of the Teaching Factory Learning Model are: the practical learning process is carried out based on real work procedures (real job), teaching factory learning is done by learning by doing, teaching factory learning activities produce learning that takes place centered on students (student active learning). Keywords: teaching factory learning model, student entrepreneurial competence

Block Scheduling for LARC in a Family Medicine Residency Program.

Only 20% of family physicians report providing long-acting reversible contraception (LARC). Clinician-related barriers include confidence and comfort with LARC counseling and insertion/removal, and limited availability and uptake. Training during residency may address barriers and increase access/availability of LARC to support reproductive autonomy. We sought to determine the impact of block scheduling LARC clinics on resident comfort and confidence with LARC counseling and insertion/removal. LARC block schedules were established in a Midwest family medicine residency's primary clinic (FMC) and in a federally qualified health center rotation clinic. Baseline and end-of-study surveys, compared by Mann-Whitney U and Wilcoxon signed-rank tests, were used to assess comfort and confidence with counseling and inserting LARC. The number of LARC devices placed at the FMC were collected for the intervention year and the year prior. Twenty of 30 residents completed the baseline survey; 13 completed the end-of-study survey. At the group and individual levels, comfort increased for counseling on Levonorgestrel (LNG) intrauterine devices (IUDs) and for inserting implants and LNG IUDs. Individual comfort increased for copper IUDs. Resident willingness to recommend LARC increased, and more devices were placed during the intervention year than the year prior in the FMC (all: P<.05). Block scheduling of LARC clinics was associated with increased residents' comfort and confidence with counseling and placement of implants (LNG IUDs) and with an increase in LARCs placed at one clinic. Changes to scheduling may be an effective educational strategy that may increase access/availability to LARC.

The Impact of Changing From a 6+2 to a 3+1 Residency Block Schedule on Patient Access and Other Outcomes.

Background The "X+Y" residency scheduling model includes "X" weeks of uninterrupted inpatient or subspecialty rotations, followed by "Y" week(s) of uninterrupted outpatient rotations. The optimal ratio of X to Y is unclear. Objective Determine the impact of moving from a 6+2 to a 3+1 schedule on patient access to care, perceived quality of care, and resident/faculty satisfaction. Methods Our residency program switched from a 6+2 to a 3+1 scheduling model in July 2018. We measured access to care before and after the change using the "third next available" (TNA) metric. In June 2019, we administered a voluntary, anonymous, 20-item survey to residents, staff, and faculty who worked in resident clinic in both the 6+2 and 3+1 years. Results Patient access to appointments with their resident physician, as measured by TNA, improved significantly after the schedule change (mean 34.1 days in 6+2, mean 26.5 days in 3+1, P<.0001). Fifteen of 17 (88%) eligible residents and 13 of 24 (54%) faculty/staff filled out the voluntary anonymous survey. Surveyed residents and faculty/staff had concordant perception that the schedule change led to improvement in patient continuity, quality of care, and ability of residents to follow up on diagnostic tests and have regular interaction with clinic attendings. However, residents did not report a change in satisfaction with continuity clinic. Conclusions Changing from a 6+2 to a 3+1 schedule was associated with improvement in patient access to care. Residents and faculty/staff perceived that this schedule change improved several aspects of patient care.

Musculoskeletal pain intensity and perceptions during distance learning: A cross-sectional study.

Technological developments and the pandemic have popularized the distance learning model at universities. In this educational model, students spend more time in front of screens, and screen-related health conditions have become important. This cross-sectional study of 177 undergraduate students was designed to investigate the effect of block and traditional scheduling in online distance education (ODE) on their musculoskeletal pain and to investigate their perceptions of block scheduling. A two-stage method was used: a quantitative design to compare pain levels, and a qualitative design to determine the students' perceptions of block scheduling using an online survey. Pain intensity was assessed using the Numeric Rating Scale (NRS-11). Data were collected in the university health sciences department. Pain intensity following the block and traditional lessons was analyzed using a paired t-test. Students in the block schedule had significantly more pain, with a large effect size on the whole trunk and upper limbs. Pain levels were also clinically meaningful for the upper (5.73 ± 2.75), lower (5.59 ± 2.87), and neck (4.92 ± 2.60) regions. Students reported positive experiences with block scheduling in ODE such as saving time (43%) and maintaining subject integrity (26%), but also negative experiences such as distraction (56%), fatigue (33%), pain (17%), and boredom (11%). Block scheduling in ODE could cause clinically significant neck and back pain. In distance learning, keeping the course duration short and ensuring student mobility in the classroom are important.

The Quality of Implementation of Academic Supervision in Vocational Secondary Schools in Teaching Factory Based Learning

This research aimed to get an idea of how academic supervision activities are implemented in learning at SMK Negeri 2 Business and Management, Jayapura based on a teaching factory in the Marketing Department. The resource persons in this research were the school principal, teaching factory field coordinator teacher majoring in marketing, the deputy principal for the curriculum department, and female students majoring in marketing. The method used in this research is a descriptive qualitative approach, through observation, in-depth interviews, and documentation studies. The data obtained was analyzed using data reduction, data presentation, and conclusion. The results obtained from this research are that supervision activities have been carried out through class visits and work practice activities which have been carried out even though they have not been carried out on a scheduled basis and have only taken the form of monitoring. Apart from that, there is an assessment of student performance which the coordinator provides, there are efforts to develop learning programs by dividing block schedules and adjusting the curriculum according to industry needs, and there is feedback provided as input for improvements including transparency of profits from Esemkamart as well as monitoring of facilities and infrastructure, although there needs to be continuous improvement and more awareness regarding the implementation of occupational safety and health when carrying out the teaching factory learning process at SMK Negeri 2 Business and Management, Jayapura.

Safety and efficacy of continuous subcutaneous levodopa–carbidopa infusion (ND0612) for Parkinson's disease with motor fluctuations (BouNDless): a phase 3, randomised, double-blind, double-dummy, multicentre trial

Conventional oral levodopa therapy for the treatment of Parkinson's disease can be associated with variations in plasma concentrations. Levodopa infusion strategies might provide more consistent drug delivery and fewer motor fluctuations. We aimed to assess the safety and efficacy of a continuous 24 h/day subcutaneous infusion of ND0612 (a levodopa-carbidopa solution) compared with oral immediate-release levodopa-carbidopa for the treatment of motor fluctuations in people with Parkinson's disease. We conducted a phase 3, randomised, double-blind, double-dummy, active-controlled, multicentre trial at 117 academic and community neurology sites in 16 countries, including in Europe, Israel, and the USA. Eligible participants were men and women aged 30 years or older with a diagnosis of Parkinson's disease (Hoehn and Yahr stage ≤3 in the on state) who experienced at least 2·5 h/day of off time. Participants underwent an open-label run-in phase (<12 weeks), during which time optimal regimens were established for both oral immediate-release levodopa-carbidopa and for 24 h/day subcutaneous ND0612 infusion (levodopa-carbidopa 60·0/7·5 mg/mL), with supplemental oral levodopa-carbidopa if needed. Participants were then randomly assigned (1:1) to 12 weeks of double-blind treatment with their optimised regimen of either subcutaneous ND0612 or oral levodopa-carbidopa, with matching oral or subcutaneous placebo given as required to maintain blinding. Randomisation was done via an interactive web response system, stratified by region, using a permuted block schedule. Participants, study partners, treating investigators, study site personnel, and the sponsor were masked to treatment group allocation. The primary efficacy endpoint was the change from baseline (ie, time of randomisation, when all patients were receiving an optimised open-label ND0612 regimen) to end of the double-blind phase in total daily on time without troublesome dyskinesia, analysed by intention to treat. This trial is registered with ClinicalTrials.gov, NCT04006210, and is complete. Between Sept 30, 2019, and April 8, 2022, 381 participants were enrolled, of whom 259 (68%) were randomly assigned, 128 (49%) to subcutaneous ND0612 and 131 (51%) to oral levodopa-carbidopa. 243 (94%) participants completed the study. Treatment with subcutaneous ND0612 provided an additional 1·72 h (95% CI 1·08 to 2·36) of on time without troublesome dyskinesia compared with oral levodopa-carbidopa (change from baseline of -0·48 h [-0·94 to -0·02] with subcutaneous ND0612 vs -2·20 h [-2·65 to -1·74] with oral levodopa-carbidopa; p<0·0001). Significant treatment differences favouring subcutaneous ND0612 were also found in the first four of nine prespecified hierarchical outcomes of daily off time (-1·40 h [95% CI -1·99 to -0·80]), Movement Disorders Society-Unified Parkinson's Disease Rating Scale part II scores (-3·05 [-4·28 to -1·81]), Patients Global Impression of Change (odds ratio [OR] 5·31 [2·67 to 10·58]), and Clinical Global Impression of Improvement (OR 7·23 [3·57 to 14·64]). Hierarchical testing ended after the fourth secondary endpoint. Adverse events were reported by 287 (89%) of 322 participants during open-label ND0612 optimisation, and by 103 (80%) of 128 in the ND0612 group and 97 (74%) of 131 in the oral levodopa-carbidopa group during the double-blind phase. The most common adverse events were infusion-site reactions (266 [83%] participants during open-label ND0612, and 73 [57%] in the ND0612 group vs 56 [43%] in the oral levodopa-carbidopa group during the double-blind phase), most of which were mild. Serious adverse events in four participants in the ND0612 group were related to study treatment (infusion-site cellulitis [n=2], infusion-site abscess and infusion-site ulcer [n=1]; and paraesthesia and peripheral sensorimotor neuropathy [n=1]). One participant in the ND0612 group died during the double-blind phase, but the death was not related to study treatment (fall leading to traumatic brain injury). Results of this phase 3 study showed that subcutaneous ND0612 used in combination with oral immediate-release levodopa-carbidopa increased on time without troublesome dyskinesia and reduced off time, with a favourable benefit-risk profile. ND0612 might offer a safe and efficacious subcutaneous levodopa infusion approach to managing motor fluctuations in people with Parkinson's disease. The ongoing open-label extension phase will provide further information on the long-term efficacy and safety of treatment. NeuroDerm.

Optimizing CNN Hardware Acceleration with Configurable Vector Units and Feature Layout Strategies

Convolutional neural network (CNN) hardware acceleration is critical to improve the performance and facilitate the deployment of CNNs in edge applications. Due to its efficiency and simplicity, channel group parallelism has become a popular method for CNN hardware acceleration. However, when processing data involving small channels, there will be a mismatch between feature data and computing units, resulting in a low utilization of the computing units. When processing the middle layer of the convolutional neural network, the mismatch between the feature-usage order and the feature-loading order leads to a low input feature cache hit rate. To address these challenges, this paper proposes an innovative method inspired by data reordering technology, aiming to achieve CNN hardware acceleration that reuses the same multiplier resources. This method focuses on transforming the hardware acceleration process into feature organization, feature block scheduling and allocation, and feature calculation subtasks to ensure the efficient mapping of continuous loading and the calculation of feature data. Specifically, this paper introduces a convolutional algorithm mapping strategy and a configurable vector operation unit to enhance multiplier utilization for different feature map sizes and channel numbers. In addition, an off-chip address mapping and on-chip cache management mechanism is proposed to effectively improve the feature access efficiency and on-chip feature cache hit rate. Furthermore, a configurable feature block scheduling policy is proposed to strike a balance between weight reuse and feature writeback pressure. Experimental results demonstrate the effectiveness of this method. When using 512 multipliers and accelerating VGG16 at 100 MHz, the actual computing performance reaches 102.3 giga operations per second (GOPS). Compared with other CNN hardware acceleration methods, the average computing array utilization is as high as 99.88% and the computing density is higher.

Resident Burnout, Wellness, Professional Development, and Engagement Before and After New Training Schedule Implementation

Burnout is a work-related syndrome of depersonalization (DP), emotional exhaustion (EE), and low personal achievement (PA) that is prevalent among internal medicine resident trainees. Prior interventions have had modest effects on resident burnout. The association of a new 4 + 4 block schedule (4 inpatient weeks plus 4 outpatient weeks) with resident burnout has not previously been evaluated. To evaluate the association of a 4 + 4 block schedule, compared with a 4 + 1 schedule, with burnout, wellness, and self-reported professional engagement and clinical preparedness among resident physicians. This nonrandomized preintervention and postintervention survey study was conducted in a single academic-based internal medicine residency program from June 2019 to June 2021. The study included residents in the categorical, hospitalist, and primary care tracks in postgraduate years 1 and 2 (PGY1 and PGY2). Data analysis was conducted from October to December 2022. In the 4 + 4 structure, resident schedules alternated between 4-week inpatient call-based rotations and 4-week ambulatory non-call-based rotations. The primary outcome was burnout, assessed using the Maslach Burnout Inventory subcategories of EE (range, 0-54), DP (range, 0-30), and PA (range, 0-48), adjusted for sex and PGY. Secondary outcomes included In-Training Examination (ITE) scores and a questionnaire on professional, educational, and health outcomes. Multivariable logistic regression was used to assess the primary outcome, 1-way analysis of variance was used to compare ITE percentiles, and a Bonferroni-adjusted Kruskal Wallis test was used for the remaining secondary outcomes. The findings were reexamined with several sensitivity analyses, and Cohen's D was used to estimate standardized mean differences (SMDs). Of the 313 eligible residents, 216 completed the surveys. A total of 107 respondents (49.5%) were women and 109 (50.5%) were men; 119 (55.1%) were PGY1 residents. The survey response rates were 78.0% (85 of 109) in the preintervention cohort and 60.6% (63 of 104) and 68.0% (68 of 100) in the 2 postintervention cohorts. The PGY1 residents had higher response rates than the PGY2 residents (119 of 152 [78.2%] vs 97 of 161 [60.2%]; P < .001). Adjusted EE scores (mean difference [MD], -6.78 [95% CI, -9.24 to -4.32]) and adjusted DP scores (MD, -3.81 [95% CI, -5.29 to -2.34]) were lower in the combined postintervention cohort. The change in PA scores was not statistically significant (MD, 1.4 [95% CI, -0.49 to 3.29]). Of the 15 items exploring professional, educational, and health outcomes, a large positive association was observed for 11 items (SMDs >1.0). No statistically significant change in ITE percentile ranks was noted. In this survey study of internal medicine resident physicians, a positive association was observed between a 4 + 4 block training schedule and internal medicine resident burnout scores and improved self-reported professional, educational, and health outcomes. These results suggest that specific 4 + 4 block combinations may better improve resident burnout than a 4 + 1 combination used previously.

Improving Clinical Wait Times in a Veterans Affairs' Urologic Setting.

Background: Long clinic wait times can contribute to treatment delays and decreased patient satisfaction. Veterans are often waiting in the urology clinic for a prolonged period that delays treatments including possible surgical interventions leading to patient dissatisfaction. Purpose: The purpose of this quality improvement project was to decrease the overall procedural wait times in an outpatient urology clinic by implementing a Fast-Track procedural clinic. Methods: The Fast-Track procedural clinic was developed to expedite care for veterans actively under bladder or prostate cancer surveillance, employing lean methodology principles. We also utilized the Consumer Assessment of Healthcare Providers and Systems Outpatient and Ambulatory Surgery Survey (OAS CAHPS) tool to assess patient satisfaction with the newly implemented Fast-Track clinic. Wait times were collected and analyzed by SPSS statistical software to determine the effectiveness of a Fast-Track clinic. Results: The Fast-Track clinic was implemented to veterans presenting to the urology clinic for procedural appointments from June 2021 to December 2021. The usage of a Fast-Track clinic decreased the overall wait times from 131 to 75 minutes within 8 weeks (43% improvement). The OAS CAHPS tool found that 55% of veterans received easy-to-understand instructions pre-Fast-Track implementation, compared with 59% post-Fast-Track implementation (a 4% improvement). Furthermore, 82% of veterans reported that they did not receive written discharge instructions post-Fast-Track implementation compared with 32% pre-Fast-Track implementation. Conclusion: Incorporating a Fast-Track procedural clinic helped minimize wait times, leading to a reduction in procedural wait times and urologic surgical delays. Implications for Nursing: The implications for practice include future studies focusing on other strategies for improving clinic wait times including block schedules and qualitative measures in the urologic and other specialty areas.

Reimagining Block Scheduling to Address Resident Well-Being

Reimagining Block Scheduling to Address Resident Well-Being

Evaluation of User-Centric Cell-Free Massive Multiple-Input Multiple-Output Networks Considering Realistic Channels and Frontend Nonlinear Distortion

Future 6G networks are expected to utilize Massive Multiple-Input Multiple-Output (M-MIMO) and follow a user-centric cell-free (UCCF) architecture. In a UCCF M-MIMO network, the user can be potentially served by multiple surrounding Radio Units (RUs) and Distributed Units (DUs) controlled and coordinated by a single virtualized Centralized Unit (CU). Moreover, in an M-MIMO network, each transmit frontend is equipped with a Power Amplifier (PA), typically with nonlinear characteristics, that can have a significant impact on the throughput achieved by network users. This work evaluates a UCCF M-MIMO network within an advanced system-level simulator considering multicarrier transmission, using Orthogonal Frequency-Division Multiplexing (OFDM), realistic signal-processing steps, e.g., per resource block scheduling, and a nonlinear radio frontend. Moreover, both idealistic independent and identically distributed (i.i.d.) Rayleigh and 3D ray-tracing-based radio channels are evaluated. The results show that under the realistic radio channel, the novel user-centric network architecture can lead to an almost uniform distribution of user throughput and improve the rate of the users characterized by the worst radio conditions by over 3 times in comparison to a classical, network-centric design. At the same time, the nonlinear characteristics of the PA can cause significant degradation of the UCCF M-MIMO network’s performance when operating close to its saturation power.

The current landscape of emergency medicine resident scheduling.

The Accreditation Council for Graduate Medical Education (ACGME) and Residency Review Committee oversee resident physician work hours with additional specifics for U.S. emergency medicine (EM) residency programs. While there are maximum work hours, the regulatory bodies do not describe minimum work hours to achieve competency, leading to variable scheduling practices. This study aimed to understand the current landscape of U.S. EM residency scheduling given the expansion of programs, evolution of policies, and increased emphasis on wellness. We conducted a cross-sectional study to assess current strategies of U.S. EM residency scheduling. The RedCap survey was sent to all ACGME-accredited EM residency programs across the United States via individualized emails between January 10, 2023, and March 15, 2023. Data were combined using Microsoft Excel. A total of 138 of 278 (50%) programs responded to the survey. A total of 73.2% of programs were using thirteen 28-day blocks with the remainder using twelve 1-month blocks or reported "other" block scheduling. The number of blocks in the ED increases with each postgraduate year (PGY). For PGY-1 through PGY-3, the most commonly used shift duration was 9 h. The mean total shifts per ED block and hours worked per ED block are as follows: 19 shifts and 185.1 h (PGY-1), 18.2 shifts and 173.9 h (PGY-2), 17.3 shifts and 163.6 h (PGY-3), and 14.8 shifts and 157.2 h (PGY-4). Programs provide a median for 4 weeks of vacation per year of residency. Given the expansion of U.S. EM residency programs, we reevaluated the landscape of resident scheduling. We described scheduling patterns related to night shifts, vacations, requested time off, conference coverage, charting time, and circadian rhythms. Programs should utilize these data as a starting point for setting a clinical experience for their residents.

Tertiary Education Teachers’ Perception on Block Scheduling: Advantages and Disadvantages in Tertiary Education

Block scheduling is a way of designing class schedules where fewer courses are offered for a shorter number of meetings yet increasing the number of class hours per day, thus still covers the required number of hours for a course. This study was conducted to determine the perception of professional course teachers and general education course teachers toward block scheduling. It employed comparative descriptive design considering 76 teachers at a tertiary school in Tangub City. These teachers were chosen using convenience sampling technique. A researcher-made survey questionnaire with seventeen (17) statements was used to gather the teachers’ perception on the advantages and disadvantages of using block scheduling. The results revealed that the tertiary education teachers agree on all the statements describing the advantages of Block Scheduling. Professional course teachers agreed on the disadvantages of block scheduling. However, general education course teachers disagreed on most of the disadvantages of block scheduling. The advantages of Block scheduling are more favored by the general education course teachers than the Professional course teachers while the latter agree more on the disadvantages of block scheduling than the former. It was recommended that the institution can continue implementing block scheduling specially for online classes.

A direct block scheduling model considering operational space requirement for strategic open-pit mine production planning

A direct block scheduling model considering operational space requirement for strategic open-pit mine production planning

Managing the OR: Tools, resources and guidelines to effectively manage operative suites

As modern medicine offers novel surgical therapies for conditions simple and complex, the proper resource allocation of operating rooms, surgical staff and supporting services is becoming increasingly important for healthcare organisations. Surgical services are one of the most essential parts of any healthcare system, substantially influencing patient choice of healthcare services. These services are typically the centre for revenue but also impart considerable costs. Given the complexity of surgical schedule planning, expectations of high reliability and demand on resources, many healthcare organisations have resorted to using a static block schedule based on historic utilisation patterns. This is based on the dogma that surgical schedules are not predictable, surgical blocks are stable, and surgical yield has no direct correlation with outpatient schedules. Here we share our two-year experience with a Surgical Predictor Tool using our surgical practice management principles and the cost-effective use of these means to meet the needs of patients and our surgical staff in an integrated community health system.

TurboGNN: Improving the End-to-End Performance for Sampling-Based GNN Training on GPUs

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Graph Neural Networks</i> (GNN) have evolved as powerful models for graph representation learning. Sampling-based training methods have been introduced to train large graphs without compromising accuracy. However, it is challenging for the existing GNN systems to effectively utilize multi-core accelerators, especially GPUs, due to a large number of atomic operations and unbalanced workload originating from the serial execution of multiple GNN processing stages. In this paper, we propose a combination of optimization techniques to accelerate the end-to-end performance of the sampling-based GNN training process. Specifically, we propose an adaptive share memory-based sampling technique and a degree-guided thread block scheduling strategy to optimize the graph sampling. Further, based on the observations of resource demand in different training stages, we propose an asynchronous pipeline-based scheduling method, which accelerates the GNN training by decoupling different training stages into a pipeline and therefore improves the GPU resource utilization significantly. The experimental results show that compared with the existing work, the proposed methods can achieve up to 5.6X performance speedup in the end-to-end performance.

Queue-Aware Resource Allocation in Full-Duplex Multi-Cellular Wireless Networks

In this paper, we aim to tackle the challenges of resource block scheduling and power allocation in the context of multi-cell full-duplex wireless networks. This is a more realistic setting than the single cell scenario, and it better envisions how full-duplex wireless communications could eventually be implemented. We propose an optimal queue-aware joint scheduling and power allocation algorithm for full-duplex wireless networks in a multi-cell scenario. Because of its mathematical intractability, we decouple the problem and solve it for scheduling first, and for power allocation second. We consider both indoor and outdoor scenarios and show that the gains of multi-cell full-duplex wireless networks, with respect to their half-duplex counter-parts, are not always prevalent. Furthermore, we highlight the importance of inter-cell cooperation when it comes to scheduling resources and show that depending on the scenario at hand, interference mitigation from inter-cell cooperation can improve the performance of user equipment in terms of throughput and waiting delay. Finally, we show that power allocation can improve user equipment throughput with its efficiency being tied to the deployment scenario at hand.